Book 832 views
Statistics for HCI: Making Sense of Quantitative Data
Synthesis Lectures on Human-Centered Informatics, Volume: 13, Issue: 2, Pages: 1 - 181
Swansea University Author: Alan Dix
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.2200/s00974ed1v01y201912hci044
Abstract
Many find statistics confusing, and perhaps even more confusing given recent publicity about problems with traditional p-values and alternative statistical techniques including confidence intervals and Bayesian statistics. This book aims to help you navigate this morass: to understand the debates, t...
Published in: | Synthesis Lectures on Human-Centered Informatics |
---|---|
ISSN: | 1946-7680 1946-7699 |
Published: |
Morgan & Claypool Publishers LLC
2020
|
Online Access: |
Check full text
|
URI: | https://cronfa.swan.ac.uk/Record/cronfa54250 |
first_indexed |
2020-05-16T03:47:12Z |
---|---|
last_indexed |
2023-01-11T14:32:11Z |
id |
cronfa54250 |
recordtype |
SURis |
fullrecord |
<?xml version="1.0"?><rfc1807><datestamp>2022-12-16T12:36:52.4629573</datestamp><bib-version>v2</bib-version><id>54250</id><entry>2020-05-15</entry><title>Statistics for HCI: Making Sense of Quantitative Data</title><swanseaauthors><author><sid>e31e47c578b2a6a39949aa7f149f4cf9</sid><firstname>Alan</firstname><surname>Dix</surname><name>Alan Dix</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2020-05-15</date><abstract>Many find statistics confusing, and perhaps even more confusing given recent publicity about problems with traditional p-values and alternative statistical techniques including confidence intervals and Bayesian statistics. This book aims to help you navigate this morass: to understand the debates, to be able to read and assess other people's statistical reports, and make appropriate choices when designing and analysing your own experiments, empirical studies and other forms of quantitative data.</abstract><type>Book</type><journal>Synthesis Lectures on Human-Centered Informatics</journal><volume>13</volume><journalNumber>2</journalNumber><paginationStart>1</paginationStart><paginationEnd>181</paginationEnd><publisher>Morgan & Claypool Publishers LLC</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>1946-7680</issnPrint><issnElectronic>1946-7699</issnElectronic><keywords/><publishedDay>9</publishedDay><publishedMonth>4</publishedMonth><publishedYear>2020</publishedYear><publishedDate>2020-04-09</publishedDate><doi>10.2200/s00974ed1v01y201912hci044</doi><url>http://dx.doi.org/10.2200/s00974ed1v01y201912hci044</url><notes/><college>COLLEGE NANME</college><CollegeCode>COLLEGE CODE</CollegeCode><institution>Swansea University</institution><apcterm/><funders/><projectreference/><lastEdited>2022-12-16T12:36:52.4629573</lastEdited><Created>2020-05-15T22:05:17.0920291</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Mathematics and Computer Science - Computer Science</level></path><authors><author><firstname>Alan</firstname><surname>Dix</surname><order>1</order></author></authors><documents/><OutputDurs/></rfc1807> |
spelling |
2022-12-16T12:36:52.4629573 v2 54250 2020-05-15 Statistics for HCI: Making Sense of Quantitative Data e31e47c578b2a6a39949aa7f149f4cf9 Alan Dix Alan Dix true false 2020-05-15 Many find statistics confusing, and perhaps even more confusing given recent publicity about problems with traditional p-values and alternative statistical techniques including confidence intervals and Bayesian statistics. This book aims to help you navigate this morass: to understand the debates, to be able to read and assess other people's statistical reports, and make appropriate choices when designing and analysing your own experiments, empirical studies and other forms of quantitative data. Book Synthesis Lectures on Human-Centered Informatics 13 2 1 181 Morgan & Claypool Publishers LLC 1946-7680 1946-7699 9 4 2020 2020-04-09 10.2200/s00974ed1v01y201912hci044 http://dx.doi.org/10.2200/s00974ed1v01y201912hci044 COLLEGE NANME COLLEGE CODE Swansea University 2022-12-16T12:36:52.4629573 2020-05-15T22:05:17.0920291 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Alan Dix 1 |
title |
Statistics for HCI: Making Sense of Quantitative Data |
spellingShingle |
Statistics for HCI: Making Sense of Quantitative Data Alan Dix |
title_short |
Statistics for HCI: Making Sense of Quantitative Data |
title_full |
Statistics for HCI: Making Sense of Quantitative Data |
title_fullStr |
Statistics for HCI: Making Sense of Quantitative Data |
title_full_unstemmed |
Statistics for HCI: Making Sense of Quantitative Data |
title_sort |
Statistics for HCI: Making Sense of Quantitative Data |
author_id_str_mv |
e31e47c578b2a6a39949aa7f149f4cf9 |
author_id_fullname_str_mv |
e31e47c578b2a6a39949aa7f149f4cf9_***_Alan Dix |
author |
Alan Dix |
author2 |
Alan Dix |
format |
Book |
container_title |
Synthesis Lectures on Human-Centered Informatics |
container_volume |
13 |
container_issue |
2 |
container_start_page |
1 |
publishDate |
2020 |
institution |
Swansea University |
issn |
1946-7680 1946-7699 |
doi_str_mv |
10.2200/s00974ed1v01y201912hci044 |
publisher |
Morgan & Claypool Publishers LLC |
college_str |
Faculty of Science and Engineering |
hierarchytype |
|
hierarchy_top_id |
facultyofscienceandengineering |
hierarchy_top_title |
Faculty of Science and Engineering |
hierarchy_parent_id |
facultyofscienceandengineering |
hierarchy_parent_title |
Faculty of Science and Engineering |
department_str |
School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science |
url |
http://dx.doi.org/10.2200/s00974ed1v01y201912hci044 |
document_store_str |
0 |
active_str |
0 |
description |
Many find statistics confusing, and perhaps even more confusing given recent publicity about problems with traditional p-values and alternative statistical techniques including confidence intervals and Bayesian statistics. This book aims to help you navigate this morass: to understand the debates, to be able to read and assess other people's statistical reports, and make appropriate choices when designing and analysing your own experiments, empirical studies and other forms of quantitative data. |
published_date |
2020-04-09T05:07:04Z |
_version_ |
1822105507657154560 |
score |
11.363283 |